Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Displaying 1 to 100 (from 357) records   Pages: 1 2 3 4 of 4  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*24:02:01-B*35:01:01-C*04:01:01-DRB1*07:01:01-DQB1*02:01:01-DPA1*02:01:02-DPB1*17:01:01  Brazil Barra Mansa Rio State Black 2.381073
 2  A*01:01:01-B*35:01:01-DRB1*07:01:01  Portugal Center 1.500050
 3  A*24:02:01-B*35:01:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*03:01:01  Brazil Rio de Janeiro Black 1.470668
 4  A*31:01:02-B*35:01:01-C*07:01:01-DRB1*07:01:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*04:02:01  Brazil Rio de Janeiro Black 1.470668
 5  A*30:02-B*35:01-DRB1*07:01  Azores Oriental Islands 1.300043
 6  A*11:01:01-B*35:01:01-C*04:01-DRB1*07:01  South Africa Caucasians 1.1100102
 7  A*26:01-B*35:01-DRB1*07:01-DQB1*02:01  Iran Tabriz Azeris 1.030997
 8  A*02:01:01-B*35:01:01-C*03:03:01-DRB1*07:01:01-DQB1*02:02:01  Vietnam Kinh 0.9900101
 9  A*26:01-B*35:01-C*04:01-DRB1*07:01  Russia Bering Island Aleuts 0.9615104
 10  A*01:01-B*35:01-DRB1*07:01-DQB1*03:01  Iran Yazd 0.892956
 11  A*03:01-B*35:01-DRB1*07:01-DQB1*03:07  Iran Yazd 0.892956
 12  A*69:01-B*35:01-DRB1*07:01-DQB1*02:01  Iran Saqqez-Baneh Kurds 0.833360
 13  A*23:01-B*35:01-C*06:02-DRB1*07:01-DQB1*05:01  Iran Gorgan 0.780064
 14  A*24:02-B*35:01-C*06:02-DRB1*07:01-DQB1*06:03  Iran Gorgan 0.780064
 15  B*35:01-DRB1*07:01  Italy pop 5 0.6500975
 16  A*11:01:01-B*35:01:01-C*04:01:01-DRB1*07:01:01-DQB1*05:01:01-DPA1*02:01:01-DPB1*17:01:01  Brazil Barra Mansa Rio State Caucasian 0.6250405
 17  A*01:01:01-B*35:01:01-C*04:01:01-DRB1*07:01:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Parda 0.5882170
 18  A*23:01:01-B*35:01:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*04:02:01  Brazil Rio de Janeiro Parda 0.5882170
 19  A*02:01-B*35:01-DRB1*07:01-DQB1*02:02  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 20  A*03:01-B*35:01-DRB1*07:01-DQB1*03:03  Iran Tabriz Azeris 0.515597
 21  A*24:02-B*35:01-DRB1*07:01-DQB1*02:01  Iran Tabriz Azeris 0.515597
 22  A*30:01-B*35:01-C*07:05-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*04:02  Kenya, Nyanza Province, Luo tribe 0.5000100
 23  A*02:01:01-B*35:01:01-C*16:01:01-DRB1*07:01  Costa Rica African -Caribbean (G) 0.4902102
 24  A*02:01-B*35:01-DRB1*07:01-DQB1*02:01  Peru Titikaka Lake Uros 0.4800105
 25  A*03:01:01-B*35:01:01-C*04:01:01-DRB1*07:01  Costa Rica Guanacaste Mestizo (G) 0.4545110
 26  A*02:01-B*35:01-C*06:02-E*01:01:01-F*01:01:01-G*01:01-DRB1*07:01-DQA1*02:01-DQB1*02:02  Portugal Azores Terceira Island 0.4386130
 27  A*11:01-B*35:01-C*04:01-E*01:01:01-F*01:01:02-G*01:01-DRB1*07:01-DQA1*04:01-DQB1*04:02  Portugal Azores Terceira Island 0.4386130
 28  A*02:01:01:01-B*35:01:01:02-C*08:03:01-DRB1*07:01:01:01-DQB1*02:02  Russia Bashkortostan, Bashkirs 0.4167120
 29  A*02:05:01-B*35:01:01-C*04:01:01-DRB1*07:01-DQB1*02:02  Russia Bashkortostan, Bashkirs 0.4167120
 30  A*03:01-B*35:01-C*04:01-DRB1*07:01-DQA1*02:01-DQB1*05:01  Kosovo 0.4030124
 31  A*02:01-B*35:01-C*04:01-DRB1*07:01  Germany DKMS - Netherlands minority 0.35101,374
 32  A*24:03-B*35:01-C*04:01-DRB1*07:01  Brazil Vale do Ribeira Quilombos 0.3472144
 33  A*31:01-B*35:01-C*04:01-DRB1*07:01-DQA1*01:01-DQB1*05:01  Brazil Puyanawa 0.3333150
 34  A*34:02-B*35:01-C*04:01-DRB1*07:01-DQA1*01:01-DQB1*02:02  Brazil Puyanawa 0.3333150
 35  A*03:01:01-B*35:01:01-C*02:02:02-DRB1*07:01:01-DQA1*02:01:01-DQB1*05:02-DPA1*01:03:01-DPB1*02:01:02  Russia Belgorod region 0.3268153
 36  A*03:01:01-B*35:01:01-C*04:01:01-DRB1*07:01:01-DQA1*01:01:01-DQB1*03:03:02-DPA1*01:03:01-DPB1*02:01:02  Russia Belgorod region 0.3268153
 37  A*11:01-B*35:01-C*04:01-DRB1*07:01  Germany DKMS - France minority 0.32601,406
 38  A*11:01:01-B*35:01:01-C*04:01:01-DRB1*07:01  Nicaragua Mestizo (G) 0.3226155
 39  A*03:01:01-B*35:01:01-C*15:05:02-DRB1*07:01:01-DQB1*02:02:01-DPA1*03:01:01-DPB1*04:02:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 40  A*11:01:01-B*35:01:01-C*04:01:01-DRB1*07:01:01-DQB1*05:02:01-DPA1*02:01:01-DPB1*10:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 41  A*33:03:01-B*35:01:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01  India Karnataka Kannada Speaking 0.2870174
 42  A*24:02:01-B*35:01:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01  India Kerala Malayalam speaking 0.2810356
 43  A*01:01:01-B*35:01:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01  India Andhra Pradesh Telugu Speaking 0.2688186
 44  A*29:02-B*35:01-C*16:01-DRB1*07:01-DQA1*01:01-DQB1*05:01-DPB1*01:01  USA San Diego 0.2600496
 45  A*11:01-B*35:01-C*04:01-DRB1*07:01  Germany DKMS - Austria minority 0.25301,698
 46  A*03:02-B*35:01-DRB1*07:01  Israel Georgia Jews 0.23704,471
 47  A*32:01:01-B*35:01:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01  Spain, Canary Islands, Gran canaria island 0.2300215
 48  A*33:01:01-B*35:01:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01  Spain, Canary Islands, Gran canaria island 0.2300215
 49  A*29:01:01-B*35:01:01-C*04:01:01-DRB1*07:01-DQB1*03:03  Costa Rica Central Valley Mestizo (G) 0.2262221
 50  A*24:02-B*35:01-C*04:01-DRB1*07:01-DQA1*03:01-DQB1*03:02-DPB1*04:02  Nicaragua Managua 0.2165339
 51  A*24:02-B*35:01-C*08:02-DRB1*07:01-DQA1*02:01-DQB1*04:02-DPB1*02:01  Nicaragua Managua 0.2165339
 52  A*24:02-B*35:01-C*04:01-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*02:01  Sri Lanka Colombo 0.2101714
 53  A*11:01-B*35:01-C*04:01-DRB1*07:01  Italy pop 5 0.2000975
 54  A*02:01:01-B*35:01:01-C*06:02:01-DRB1*07:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 55  A*03:01:01-B*35:01:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*39:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 56  A*03:01-B*35:01-C*04:01-DRB1*07:01-DQB1*06:03  Malaysia Peninsular Indian 0.1845271
 57  A*03:02-B*35:01-DRB1*07:01  Israel Kavkazi Jews 0.17802,840
 58  A*11:01-B*35:01-C*04:01-DRB1*07:01-DQB1*06:01  India Northeast UCBB 0.1689296
 59  A*26:30-B*35:01-C*06:02-DRB1*07:01-DQB1*02:01-DPB1*04:01  Tanzania Maasai 0.1597336
 60  A*11:01-B*35:01-C*04:01-DRB1*07:01  Germany DKMS - Croatia minority 0.15902,057
 61  A*03:01-B*35:01-C*04:01-DRB1*07:01  Germany DKMS - France minority 0.15501,406
 62  A*68:01-B*35:01-C*04:01-DRB1*07:01-DQB1*03:03  India West UCBB 0.15455,829
 63  A*11:01-B*35:01-C*04:01-DRB1*07:01  Germany DKMS - Bosnia and Herzegovina minority 0.15201,028
 64  A*02:01-B*35:01-DRB1*07:01-DQB1*02:02  Mexico Mexico City Tlalpan 0.1515330
 65  A*02:01-B*35:01-DRB1*07:01-DQB1*03:03  Mexico Mexico City Tlalpan 0.1515330
 66  A*11:01-B*35:01-DRB1*07:01-DQB1*02:01  Mexico Mexico City Tlalpan 0.1515330
 67  A*30:01-B*35:01-DRB1*07:01-DQB1*02:02  Mexico Mexico City Tlalpan 0.1515330
 68  A*32:01-B*35:01-DRB1*07:01-DQB1*02:02  Mexico Mexico City Tlalpan 0.1515330
 69  A*03:01-B*35:01-C*04:01-DRB1*07:01  Germany DKMS - Bosnia and Herzegovina minority 0.14601,028
 70  A*32:01-B*35:01-C*04:01-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*14:01  Sri Lanka Colombo 0.1401714
 71  A*68:01-B*35:01-C*04:01-DRB1*07:01-DQA1*02:01-DQB1*03:03-DPB1*04:01  Sri Lanka Colombo 0.1401714
 72  A*02:01-B*35:01-C*04:01-DRB1*07:01-DQB1*02:01  USA Hispanic pop 2 0.14001,999
 73  A*02:01-B*35:01-C*04:01-DRB1*07:01-DQB1*03:03  Italy pop 5 0.1400975
 74  A*03:01-B*35:01-C*04:01-DRB1*07:01-DQB1*02:01  USA Hispanic pop 2 0.14001,999
 75  A*11:01-B*35:01-C*04:01-DRB1*07:01-DQB1*05:03  Italy pop 5 0.1400975
 76  A*30:01:01-B*35:01:01-C*04:01:01-DRB1*07:01:01-DQB1*02:01:02  India Kerala Malayalam speaking 0.1400356
 77  A*31:01:02-B*35:01:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01  India Kerala Malayalam speaking 0.1400356
 78  A*03:01-B*35:01-C*04:01-DRB1*07:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.13704,335
 79  A*02:01-B*35:01-C*04:01-DRB1*07:01-DQB1*02:01  USA NMDP Black South or Central American 0.13494,889
 80  A*02:01-B*35:01-C*04:01-DRB1*07:01-DQB1*02:01  Germany DKMS - Italy minority 0.13101,159
 81  A*03:01-B*35:01-C*04:01-DRB1*07:01-DQB1*02:01  USA African American pop 4 0.13102,411
 82  A*11:01-B*35:01-C*04:01-DRB1*07:01-DQB1*02:01-DPB1*02:01  Russia Karelia 0.11291,075
 83  A*02:01-B*35:01-C*04:01-DRB1*07:01  Germany DKMS - Spain minority 0.11101,107
 84  A*03:01:01:01-B*35:01:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02  Russia Nizhny Novgorod, Russians 0.10481,510
 85  A*03:01-B*35:01-C*04:01-DRB1*07:01-DQB1*02:02  India East UCBB 0.10082,403
 86  A*02:01-B*35:01-C*04:01-DRB1*07:01  Italy pop 5 0.1000975
 87  A*03:01-B*35:01-C*04:01-DRB1*07:01  Germany DKMS - United Kingdom minority 0.09601,043
 88  A*24:02-B*35:01-C*04:01-DRB1*07:01-DQB1*03:03  India Tamil Nadu 0.09342,492
 89  A*02:01-B*35:01-DRB1*07:01  Israel USSR Jews 0.089745,681
 90  A*24:02-B*35:01-C*04:01-DRB1*07:01-DQB1*02:02  India East UCBB 0.08782,403
 91  A*29:02-B*35:01-C*04:01-DRB1*07:01-DQB1*02:01  USA African American pop 4 0.08702,411
 92  A*29:02-B*35:01-C*04:08-DRB1*07:01-DQB1*02:01  USA African American pop 4 0.08702,411
 93  A*11:01-B*35:01-C*04:01-DRB1*07:01  Germany DKMS - Portugal minority 0.08601,176
 94  A*11:01-B*35:01-C*04:01-DRB1*07:01-DQB1*02:01  Germany DKMS - Italy minority 0.08601,159
 95  A*02:01-B*35:01-C*04:01-DRB1*07:01  Germany DKMS - Romania minority 0.08101,234
 96  A*24:02-B*35:01-C*04:01-DRB1*07:01  Germany DKMS - Romania minority 0.08101,234
 97  A*24:02-B*35:01-C*04:01-DRB1*07:01-DQB1*03:03  India East UCBB 0.07432,403
 98  A*11:01-B*35:01-C*04:01-DRB1*07:01  Poland DKMS 0.073020,653
 99  A*11:01-B*35:01-C*04:01-DRB1*07:01-DQA1*02:01-DQB1*03:03-DPB1*02:01  Sri Lanka Colombo 0.0700714
 100  A*24:02-B*35:01-C*07:02-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*09:01  Sri Lanka Colombo 0.0700714

Notes:

* Haplotype Frequencies: Total number of copies of the haplotype in the population sample (Haplotypes / 2n) shown in percentages (%).
   Important: This field has been expanded to two decimals to better represent frequencies of large datasets (e.g. where sample size > 1000 individuals)
¹ Distribution - Shows the geographic distribution in overlaid maps of the complete haplotype (left icon) or the input alleles if low level resolution was entered (right icon).


Displaying 1 to 100 (from 357) records   Pages: 1 2 3 4 of 4  


   

Allele frequency net database (AFND) 2020 update: gold-standard data classification, open access genotype data and new query tools
Gonzalez-Galarza FF, McCabe A, Santos EJ, Jones J, Takeshita LY, Ortega-Rivera ND, Del Cid-Pavon GM, Ramsbottom K, Ghattaoraya GS, Alfirevic A, Middleton D and Jones AR Nucleic Acid Research 2020, 48:D783-8.
Liverpool, U.K.

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